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DiaBD: A Diabetes Dataset for Enhanced Risk Analysis and research in Bangladesh

Data in Brief 2025年

作者： Tabia Tanzin Prama Md. Jobayer Rahman Marzia Zaman Farhana Sarker Khondaker A. Mamun Advanced Intelligent Multidisciplinary Systems (AIMS) Lab Institute of Research Innovation Incubation and Commercialization (IRIIC) United International University Dhaka 1212 Bangladesh CMED Health Ltd. Mohakhali DOHS Dhaka 1206 Bangladesh Department of Computer Science and Engineering Independent University Bangladesh (IUB) Dhaka 1229 Bangladesh Department of Computer Science and Engineering United International University (UIU) Dhaka 1212 Bangladesh

Diabetes is a chronic condition affecting millions worldwide and severely impacts health and quality of life. According to the International Diabetes Federation (IDF), over 463 million adults, which is 9.3% of the global population, live with diabetes. Diabetes ranks among the most prevalent chronic diseases and was the ninth-leading cause of mortality in 2019, with 4.2 million deaths reported. This article presents a dataset of 5,288 patient records from Bangladesh, addressing gaps in diabetes research and aiding in healthcare planning, risk analysis, and predictive modelling. The dataset comprises 14 attributes: age, gender, pulse rate, systolic and diastolic blood pressure, glucose levels, height, weight, body mass index (BMI), family history of diabetes and hypertension, cardiovascular disease (CVD), and stroke. A dependent attribute, Diabetic, indicates whether an individual has diabetes or not. The dataset ensures demographic diversity and precise measurements, supporting the study of diabetes and its related health issues. Features like CVD and stroke enable broader research on comorbidities. This dataset facilitates machine learning applications, risk assessment, and personalized healthcare strategies. researchers can explore the links between diabetes, hypertension, CVD, and stroke, while healthcare providers and policymakers can leverage this to identify trends, allocate resources efficiently, and enhance public health strategies.

关键词： Diabetes Medical care Biometric Data Standardization Risk Factor Analysis Predictive Analysis

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The Development of Human Machine Interface (HMI) on Antenna Stabilization System

The Development of Human Machine Interface (HMI) on Antenna ...

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2020 International Conference on Sustainable Energy engineering and Application, ICSEEA 2020

作者： Mirdanies, Midriem Saputra, Hendri Maja Rahmat Rahmayanti, Rifa Utomo, Sapdo Susanti, Vita Research Center for Electrical Power and Mechatronics Bandung Indonesia Department of Electrical Electronic Computer and Systems Engineering University of Oviedo Asturias Spain Ambient Intelligence and Smart Systems National Chung Cheng University Chiayi County Taiwan

ISBN: (纸本)9781728188492

Human Machine Interface (HMI) for antenna stabilization systems has been made. This antenna stabilization system is used for ships but could be also installed on land vehicles with some adjustments. The HMI program has been created based on Graphical User Interface (GUI) using the C programming language with Qt Integrated Development Environment (IDE) on raspberry pi 3. This program was designed to monitor and control the real-time antenna stabilization system. Multithread processing algorithms have been applied to ensure that the program could process the system algorithm, GUI display, motor control, and input/output data at the same time so that no process overlap and system crashed could be avoided. Experiments have been conducted which show that all processes could run in real-time and the antenna stabilization mechanism could work well. © 2020 IEEE.

关键词： Graphical user interfaces

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A Distributed Framework for Large-scale Protein-protein Interaction Data Analysis and Prediction Using MapReduce

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IEEE/CAA Journal of Automatica Sinica 2022年第1期9卷 160-172页

作者： Lun Hu Shicheng Yang Xin Luo Huaqiang Yuan Khaled Sedraoui MengChu Zhou School of Computer Science and Technology Dongguan University of TechnologyDongguan 523808China School of Computer Science and Technology Wuhan University of TechnologyWuhan 430070China Chongqing Engineering Research Center of Big Data Application for Smart Cities and Chongqing Key Laboratory of Big Data and Intelligent ComputingChongqing Institute of Green and Intelligent TechnologyChinese Academy of SciencesChongqing 400714China Xinjiang Technical Institute of Physics and Chemistry Chinese Academy of SciencesUrumqi 830000China Center of Research Excellence in Renewable Energy and Power Systems and the Department of Electrical and Computer EngineeringFaculty of EngineeringKing Abdulaziz UniversityJeddah 21589Saudi Arabia Department of Electrical and Computer Engineering New Jersey Institute of TechnologyNewarkNJ 07102 USA

Protein-protein interactions are of great significance for human to understand the functional mechanisms of *** the rapid development of high-throughput genomic technologies,massive protein-protein interaction(PPI)data have been generated,making it very difficult to analyze them *** address this problem,this paper presents a distributed framework by reimplementing one of state-of-the-art algorithms,i.e.,CoFex,using *** do so,an in-depth analysis of its limitations is conducted from the perspectives of efficiency and memory consumption when applying it for large-scale PPI data analysis and *** solutions are then devised to overcome these *** particular,we adopt a novel tree-based data structure to reduce the heavy memory consumption caused by the huge sequence information of *** that,its procedure is modified by following the MapReduce framework to take the prediction task distributively.A series of extensive experiments have been conducted to evaluate the performance of our framework in terms of both efficiency and *** results well demonstrate that the proposed framework can considerably improve its computational efficiency by more than two orders of magnitude while retaining the same high accuracy.

关键词： Distributed computing large-scale prediction machine learning MapReduce protein-protein interaction(PPI)

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Variational Bayesian Learning based Joint Localization and Channel Parameter Estimation in Wireless Sensor Networks with Distance-dependent Noise

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IEEE Transactions on Vehicular Technology 2024年第5期74卷 6877-6891页

作者： Li, Yunfei Luo, Yiting Tan, Weiqiang Li, Chunguo Ma, Shaodan Yang, Guanghua Anhui Polytechnic University Department of Electrical Engineering Wuhu China Guangzhou University School of Computer Science and Cyber Engineering Guangzhou China Southeast University School of Information Science and Engineering Nanjing China Purple Mountain Laboratories Nanjing China University of Macau State Key Lab. of Internet of Things for Smart City and the Dept. of Elec. and Computer Engineering Taipa China Jinan University School of Intelligent Systems Science and Engineering Zhuhai519070 China

This paper focuses on the challenge of jointly optimizing location and path loss exponent (PLE) in distancedependent noise. Departing from the conventional independent noise model used in localization and path loss exponent estimation problems, we consider a more realistic model incorporating distance-dependent noise variance, as revealed in recent theoretical analyses and experimental results. The distance-dependent noise introduces a complex noise model with unknown noise power and PLE, resulting in an exceptionally challenging nonconvex and nonlinear optimization problem. In this study, we address a joint localization and path loss exponent estimation problem encompassing distance-dependent noise, unknown parameters, and uncertainties in sensor node locations. To surmount the intractable nonlinear and non-convex objective function inherent in the problem, we introduce a variational Bayesian learning-based framework that enables the joint optimization of localization, path loss exponent, and reference noise parameters by leveraging an effective approximation to the true posterior distribution. Furthermore, the proposed joint learning algorithm provides an iterative closed-form solution and exhibits superior performance in terms of computational complexity compared to existing algorithms. computer simulation results demonstrate that the proposed algorithm approaches the performance of the Bayesian Cramer-Rao bound (BCRB), achieves localization performance comparable to the (maximum likelihood-Gaussian message passing) ML-GMP algorithm in some cases, and outperforms the other comparison algorithm in all cases. © 1967-2012 IEEE.

关键词： Iterative methods

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Toward testing security attacks and defense mechanisms for P2PSIP in MANETs with a simulator 14

Toward testing security attacks and defense mechanisms for P...

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14th International Joint Conference on e-Business and Telecommunications, ICETE 2017

作者： Cormier, Alexandre Gagnon, François Esfandiari, Babak Kunz, Thomas Department of Systems and Computer Engineering Carleton University Ottawa Canada Cybersecurity Research Lab Cégep Sainte-FoyQC Canada

ISBN: (纸本)9789897582561

Mobile Ad hoc NETworks (MANETs) are comprised of mobile devices communicating with each other over multi-hop wireless links. Because they do not require any fixed infrastructure, these networks are appropriate for communication in military operations, for example. The Session Initiation Protocol (SIP) is a standard for session establishment in Voice over IP context, notably, but is not adapted to MANETs and peer-to-peer (P2P) networks. Though solutions have been proposed, their security properties are not addressed in depth. We thus analyze the different threats affecting a military MANET used for P2PSIP, propose a security solution, based in large part on cryptographic challenges, to counter the identified threats and present some simulation-based experiment results for our proposed solution. © Copyright 2017 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.

关键词： Mobile ad hoc networks

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Scenario-oriented ad hoc networks simulation with mobility models

Scenario-oriented ad hoc networks simulation with mobility m...

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OtLCOM 2004 - 2004 IEEE Military Communications Conference

作者： McNeill, Kevin M. Zhao, Yun Gaviria, Natalia Martínez, Ralph Deal, John Computer Engineering Research Lab. ECE Department University of Arizona Tucson AZ CNIR C and IS BAE Systems Reston VA

Unlike fixed cell-based wireless networks, the infrastructure topology of MANETs is constantly and some times rapidly changing. This characteristic has created the need to develop a new set of routing protocols for MANETs, which in turn have to be tested and evaluated. Simulation is a widely used tool in evaluating the performance of networks under different conditions. It is necessary that the simulation scenarios reassemble the actual conditions under which the networks will operate and for military application it is important that realistic mobility models be employed. The topology, the size and the connectivity of the network are the most important elements affecting the performance of routing protocols in traditional wired networks. The case of MANETs, however, involves more parameters, and poses new challenges to the simulation. This paper compares the performance of three routing algorithms under three different mobility patterns. © 2004 IEEE.

关键词： Telecommunication networks

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TDMA Scheduling in Wireless Sensor Network Using Artificial Immune System

TDMA Scheduling in Wireless Sensor Network Using Artificial ...

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15th Online World Conference on Soft Computing in Industrial Applications

作者： Davarzani, Zohreh Yaghmaee, Mohammah-H Akbarzadeh-T, Mohammad-R. Cognitive Computing Lab. Center for Applied Research on Soft Computing and Intelligent Systems Iran Department of Computer Engineering Ferdowsi University of Mashhad Mashhad Iran

ISBN: (纸本)9783642205040

Today, wireless sensor networks encompass a large volume of applications. Wireless sensor networks consisted of many nodes by low energy batteries. Therefore, they must consume power as low as possible. TDMA Protocol in these networks is designed for this goal. In this paper a multiobjective immune algorithm is proposed for finding optimal solutions to TDMA scheduling problem. The simulation results show a better performance in comparison to two algorithms using instances with different sizes.

关键词： TDMA scheduling wireless sensor networks Immune System genetic algorithm

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Low-threshold CMOS rectifier design for energy harvesting in biomedical sensors 10

Low-threshold CMOS rectifier design for energy harvesting in...

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10th EAI International Conference on Body Area Networks, BODYNETS 2015

作者： Mohammadi, Ali Redoute, Jean-Michel Yuce, Mehmet R. Biomedical Integrated Circuits and Sensors Research Lab Department of Electrical and Computer Systems Engineering Monash University ClaytonVIC3800 Australia

The power transfer efficiency of energy harvesting systems is strongly dependent on the power conditioning circuits, especially rectifiers. The voltage drop across rectifier and its leakage current can drastically influence the efficiency. The hybrid energy harvesters impose even more severe constraints on the rectifier. The low Vth transistors and bulk regulation technique are used in this work to mitigated the voltage drop and leakage current, respectively. It has been shown that the bulk regulation stops the current leakage through body of PMOS transistor. A near zero threshold cross connected CMOS rectifier is presented in this work using the standard 180nm UMC technology and experimental analysis are carried out to evaluate the circuit performance. © 2015 ICST.

关键词： Energy harvesting

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Histogram of Oriented Displacements (HOD): Describing trajectories of human joints for action recognition

Histogram of Oriented Displacements (HOD): Describing trajec...

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23rd International Joint Conference on Artificial Intelligence, IJCAI 2013

作者： Gowayyed, Mohammad A. Torki, Marwan Hussein, Mohamed E. El-Saban, Motaz Department of Computer and Systems Engineering Alexandria University Alexandria Egypt Microsoft Research Advanced Technology Lab. Cairo Cairo Egypt

ISBN: (纸本)9781577356332

Creating descriptors for trajectories has many applications in robotics/human motion analysis and video copy detection. Here, we propose a novel descriptor for 2D trajectories: Histogram of Oriented Displacements (HOD). Each displacement in the trajectory votes with its length in a histogram of orientation angles. 3D trajectories are described by the HOD of their three projections. We use HOD to describe the 3D trajectories of body joints to recognize human actions, which is a challenging machine vision task, with applications in human-robot/machine interaction, interactive entertainment, multimedia information retrieval, and surveillance. The descriptor is fixed-length, scale-invariant and speed-invariant. Experiments on MSR-Action3D and HDM05 datasets show that the descriptor outperforms the state-of-the-art when using off-the-shelf classification tools.

关键词： Trajectories

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Runtime compression of MPI messanes to improve the performance and scalability of parallel applications 04

Runtime compression of MPI messanes to improve the performan...

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2004 ACM/IEEE Conference on Supercomputing, SC 2004

作者： Ke, Jian Burtscher, Martin Speight, Evan Computer Systems Laboratory School of Electrical and Computer Engineering Cornell University IthacaNY14853 United States Future Systems Group IBM Austin Research Lab AustinTX78758 United States

ISBN: (纸本)0769521533

Communication-intensive parallel applications spend a significant amount of their total execution time exchanging data between processes, which leads to poor performance in many cases. In this paper, we investigate message compression in the context of large-scale parallel message-passing systems to reduce the communication time of individual messages and to improve the bandwidth of the overall system. We implement and evaluate the cMPI message-passing library, which quickly compresses messages on-the-fly with a low enough overhead that a net execution time reduction is obtained. Our results on six large-scale benchmark applications show that their execution speed improves by up to 98% when message compression is enabled. © 2004 IEEE.

关键词： Benchmarking

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